Compromised Data Set

Identify credentials leaked from malware-infected devices

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Compromised Data Set

Detect credentials leaked from malware-infected devices

The Compromised Data Set is a valuable tool that helps organizations check for credentials leaked on to the dark web as a result of malware-infected devices.

With a simple and intuitive interface, users can look up relevant domains, emails, or keywords and find instances of compromised devices and the resulting leakage of data from these. Using the detailed information provided by the module, these compromised devices can then be easily identified and shut down to prevent further leakage of data threats. 

Provided information:

  • Domain
  • Leaked username
  • Leaked password
  • Leaked date(month)
  • Leaked data source or bad actor

Key Features

Comprehensive Data Collection

Covers a wide range of open and closed sources such as hacker forums, black markets, leak blogs, and criminal sites

Real-time Alerts

Sends customized real-time notifications whenever relevant leaks are detected

Export Function

Converts module data into a downloadable excel file

Data Canvas

Visualizes connections, patterns and trends between data points for easy analysis

API Integration

Integrates with your security stack to enhance performance

Use cases

End User Protection

The Compromised Data Set module safeguards end users by detecting if their credentials have been leaked on the dark web. By promptly notifying users of compromised credentials, organizations can empower individuals to take immediate action, such as changing passwords and implementing additional security measures, to protect their personal accounts and sensitive information.

Risk Assessment

The module enables organizations to conduct internal risk assessments by identifying leaked credentials within their own networks. This allows them to evaluate the extent of the risk and take appropriate measures to mitigate potential threats, such as implementing stronger authentication methods and conducting security awareness training for employees.

Suspect hunting

Using the Compromised Data Set, digital investigation teams can trace and track criminals whose credentials have been leaked via their various activities on the web. This provides investigators with critical insights to more efficiently identify and pursue these bad actors.

Nationwide Leakage

The module's capability to detect nationwide leakage helps organizations gain a broader perspective on the scale and impact of credential leaks within their country. This information can be crucial for government agencies, law enforcement, and cybersecurity organizations to coordinate efforts, share threat intelligence, and take collective action to combat cybercrime and protect national security


By leveraging the Compromised Data Set module, law enforcement agencies can access a comprehensive database of leaked credentials, enabling them to uncover connections, patterns, and trends. This intelligence empowers agencies to proactively identify cyber threats, anticipate criminal activities, and take proactive measures to protect individuals, organizations, and critical infrastructure.

Given the evolving digital threat landscape, enterprises need to demonstrate their commitment to keeping employee and customer data safe. Using the Compromised Data Set module empowers enterprises to strengthen their security posture by detecting and responding to compromised credentials that may expose their systems and valuable data to cyber threats. By leveraging this module, enterprises can take proactive measures to mitigate risks, protect customer information, and maintain the trust and loyalty of their clients.

Housing large amounts of sensitive data critical to national safety and security, government agencies and systems are prime targets for malware attacks. By using the Compromised Data Set to promptly detect and address compromised credentials, governments can mitigate the risk of unauthorized access, protect national security, and demonstrate their commitment to safeguarding citizen data.